Weibull++ Standard Folio Data 1P-Weibull: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 13: | Line 13: | ||
<math>\beta=C \,\!</math> | <math>\beta=C \,\!</math> | ||
or | or | ||
<math> R(t)=e^{-\left( {\frac{t}{ \eta }}\right) ^{C}} \,\!</math> | <math> R(t)=e^{-\left( {\frac{t}{ \eta }}\right) ^{C}} \,\!</math> | ||
Revision as of 23:31, 10 February 2012
 |
The One-Parameter Weibull DistributionThe one-parameter Weibull distribution is a special case of the two parameter Weibull that assumes that shape parameter is known constant, [math]\displaystyle{ \beta=C \,\! }[/math] or [math]\displaystyle{ R(t)=e^{-\left( {\frac{t}{ \eta }}\right) ^{C}} \,\! }[/math] In this formulation we assume that the shape parameter is known a priori from past experience on identical or similar products. The advantage of doing this is that data sets with few or no failures can be analyzed. More... |
| See also The Weibull Distribution |
| See also Analysis Example |